Latest Articles

Observability for Agents and Workflows: Tracing Prompts, Tool Calls, and Business Outcomes End-to-End

Learn how to trace AI agents end to end, from prompts and tool calls to business outcomes, with observability practices for production workflows.

June 5, 2026

by Srinivas Chippagiri

CORE

· 5,624 Views · 2 Likes

Is the Data Warehouse Dead? 3 Patterns From Enterprise Architecture That Answer This Question

No, but its role has fundamentally changed. Here is what I have seen work, after building data platforms at enterprise scale across multiple industries.

June 5, 2026

by Nabarun Bandyopadhyay

· 5,275 Views · 1 Like

Spring AI Advisors: Chat Memory, Token Tracking, and Message Logging

Part 3 of a step-by-step tutorial that decorates the implementation with Spring AI advisors to demonstrate how certain production concerns may be addressed.

June 5, 2026

by Horatiu Dan

CORE

· 3,783 Views · 4 Likes

Why Round-Robin Won't Save You: Load Balancing Challenges in Data Streaming Services With Heterogeneous Traffic

Throughput-based load balancing breaks down when streaming messages have heterogeneous processing costs — the fix is balancing on actual per-partition resource usage.

June 5, 2026

by Semyon Slepov

· 3,456 Views · 1 Like

How to Parse Large XML Files in PHP Without Running Out of Memory

Stream huge XML feeds in PHP, extract only matching nodes, and convert them into plain PHP arrays without loading the whole document.

June 5, 2026

by Nicholas Volkhin

· 2,985 Views

Why Your Test Automation Is Always Behind the Code And the Architecture That Fixes It

Most QA teams are stuck in a manual scripting loop. Here's the requirement-driven architecture that eliminates the coverage gap permanently.

June 5, 2026

by Waqar Hashmi

· 3,881 Views

Good Data, Bad Metric: A Mutation Testing Pattern for Analytics Engineering

A mutation testing pattern for analytics metrics that checks if validation catches realistic business logic errors early.

June 4, 2026

by Prateek Arora

· 4,531 Views · 1 Like

Advanced Error Handling and Retry Patterns in Enterprise REST Integrations

Blind retries amplify outages fast. Classify failures first, jitter your backoff, and circuit-break early before cascading.

June 4, 2026

by Anil guntupalli

· 3,702 Views · 1 Like

Persistent Memory for AI Agents Using LangChain's Deep Agents

Most AI agents forget you when the session ends. deepagents fixes that — persistent per-user memory across sessions, no vector database.

June 4, 2026

by Ninaad Rao

CORE

· 4,280 Views · 4 Likes

A System Cannot Protect What It Does Not Understand

Inside the system, there is always a boundary between incoming data and stored state, and that boundary is not passive. It acts like a gatekeeper.

June 4, 2026

by Jan Nilsson

· 2,967 Views

Liquid Glass, Material 3, and a Lot of Plumbing

New iOS Modern (liquid glass) and Android Material 3 native themes, how they work in the Playground, in the simulator, and on devices, plus a week of performance and look

June 4, 2026

by Shai Almog

CORE

· 2,466 Views · 3 Likes

Building a High-Throughput Distributed Sequence Generator Using the Hi-Lo Algorithm

Design scalable sequential ID generation in distributed systems using the Hi-Lo pattern with Cosmos DB to reduce contention, improve latency, and maintain ordering.

June 4, 2026

by Vikas Mittal

· 2,611 Views

The Hidden Cost of AI Tokens: Engineering Patterns for 10x Resource Efficiency

How we cut our AI API bill from $127K to $13.8K monthly — not by switching providers, but by treating tokens as a first-class architectural concern.

June 4, 2026

by Dinesh Elumalai

CORE

· 2,628 Views · 1 Like

Beyond Manual Annotation: Engineering Self-Correcting Pseudo-Labeling Pipelines

This article details a resilient pseudo-labeling architecture. It combines Redis ingestion, Matryoshka embeddings, XGBoost to neutralize self-training confirmation bias.

June 4, 2026

by Harshith Narasimhan Srivatsa

· 2,491 Views

Testing AI-Infused Apps: A Dual-Layer Framework for AI Quality Assurance

Reliable AI delivery isn't either/or—it's both/and. Test conventionally for functionality. Evaluate probabilistically for quality. Deploy with dual-discipline confidence.

June 4, 2026

by Stelios Manioudakis

CORE

· 4,598 Views · 2 Likes

Real-Time AI Inference at Scale Using Cloud Run, GPUs, and Vertex AI

Build scalable threat intel pipelines with Python, STIX/TAXII APIs, and Elasticsearch. Normalize data, preserve context, and enable fast, reliable detection.

June 4, 2026

by khadarvali shaik

· 2,503 Views

Build a GitHub Slack Bot With AWS Bedrock and MCP, Part 2

Build a Slack bot using AWS Bedrock and MCP to answer GitHub questions. Learn setup, architecture, and how to extend it with new tools and data sources.

June 4, 2026

by Sangharsh Agarwal

· 3,070 Views

Compliance Automated Standard Solution (COMPASS), Part 11: Compliance as Code, the OSCAL MCP Server Way

How AI-native tooling is finally closing the loop between compliance personas and OSCAL artifacts with an MCP-standardized, AI-agent-ready interface.

June 4, 2026

by Yuji Watanabe

· 3,145 Views · 1 Like

Building Threat Intelligence Pipelines Using Python, APIs, and Elasticsearch

STIX/TAXII in, ECS normalized, provenance preserved deterministic IDs, correct bulk writes, ingest pipelines keep threat indicator data reliable and queryable under load.

June 3, 2026

by Krishnaveni Musku

· 3,440 Views

How to Save Money Using Custom LLMs for Specific Tasks

MCP transforms AI from "chatbot" to "capable agent" by managing the messy details of tool integration and execution. With local models.

June 3, 2026

by Max Tcvetkov

· 2,367 Views · 4 Likes

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